When using AI for writing, how can we ensure that the article is logically rigorous?

Ensuring logical rigor in AI-assisted writing requires careful human oversight and strategic integration of AI output during the drafting and revision stages. It is achievable by clearly defining inputs and systematically evaluating the AI-generated text. Key principles include providing the AI with a detailed outline, key arguments, and specific instructions for structure to guide its output. The writer must rigorously review the coherence of arguments, ensuring claims are well-supported and flow logically. Verifying factual accuracy and consistency within the text and across the document is essential. Finally, human intervention is critical for adding depth, nuance, and explicit transitions where the AI output may be superficial or disjointed. Implementation involves clear initial instructions defining the argument and expected flow. Writers should analyze the AI output critically for argumentative gaps, faulty assumptions, or non-sequiturs. Step-by-step, this includes verifying supporting evidence for each claim, examining cause-effect relationships, and strengthening paragraph transitions for readability. A thorough final edit focusing solely on argument progression further solidifies logic. This process is vital in academic, technical, or persuasive business writing, enhancing credibility.